Senior AI Platform Engineer: LLM & Agent Systems

Syone; Lisboa; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Syone is seeking an AI Platform Engineer to join our team in Lisbon. You will design and operate an enterprise AI platform, integrating LLM providers like Azure, Claude, and OpenAI, with robust routing, cost controls, and governance.

You will develop autonomous agents and multi-agent workflows, connect AI copilots to business systems, and build RAG and knowledge retrieval capabilities for grounded outputs. Strong production-focused experience is essential.

Qualificações

• 8+ years in software engineering and shipping production AI applications.
• Proven experience deploying enterprise LLM solutions used by end-users at scale.
• Experience designing multi-agent systems and agentic orchestration architectures.
• Experience integrating AI into business workflows, not just demos.

Responsabilidades

• Design and operate the enterprise AI platform layer with multi-provider LLM integrations across Azure AI Foundry, Azure OpenAI, Claude, and OpenAI APIs.
• Develop autonomous agents and multi-agent workflows that connect to enterprise platforms (SharePoint, Salesforce, M365).
• Build retrieval and knowledge-grounding capabilities with hybrid search and CPC integration.
• Ensure safety, governance, monitoring, and production readiness across AI systems.

Conhecimentos

Software engineering

Production AI apps

Enterprise LLM deployment

Multi-agent systems

Business workflows integration

Ferramentas

LangGraph

Semantic Kernel

LangChain

LlamaIndex

AutoGen

CrewAI

Datadog

Grafana

Azure AI Search

RLHF / fine-tuning

Descrição da oferta de emprego

Syone is seeking an AI Platform Engineer to join our team in Lisbon. You will design and operate an enterprise AI platform, integrating LLM providers like Azure, Claude, and OpenAI, with robust routing, cost controls, and governance.

You will develop autonomous agents and multi-agent workflows, connect AI copilots to business systems, and build RAG and knowledge retrieval capabilities for grounded outputs. Strong production-focused experience is essential.